Leslie G. Willis

24 total papers · 999 total citations
23 papers, 791 citations indexed

About

Leslie G. Willis is a scholar working on Molecular Biology, Insect Science and Genetics. According to data from OpenAlex, Leslie G. Willis has authored 23 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Insect Science and 6 papers in Genetics. Recurrent topics in Leslie G. Willis's work include Viral Infectious Diseases and Gene Expression in Insects (18 papers), Insect Resistance and Genetics (17 papers) and Entomopathogenic Microorganisms in Pest Control (11 papers). Leslie G. Willis is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (18 papers), Insect Resistance and Genetics (17 papers) and Entomopathogenic Microorganisms in Pest Control (11 papers). Leslie G. Willis collaborates with scholars based in Canada, United States and Hungary. Leslie G. Willis's co-authors include David A. Theilmann, Martin A. Erlandson, Lu-Lin Li, Qianjun Li, Cam Donly, Keith N. Slessor, M. L. Winston, Barry M. Honda, Mark L. Winston and Gabriel B. Kalmar and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Virology and Virology.

In The Last Decade

Leslie G. Willis

23 papers receiving 776 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Leslie G. Willis 635 498 191 130 68 23 791
Michael D. Tomalski 600 0.9× 498 1.0× 139 0.7× 81 0.6× 58 0.9× 18 810
James M. Slavicek 690 1.1× 582 1.2× 116 0.6× 44 0.3× 29 0.4× 35 882
Gillian Hertlein 256 0.4× 630 1.3× 364 1.9× 380 2.9× 19 0.3× 15 862
Takashi Kawai 568 0.9× 164 0.3× 135 0.7× 61 0.5× 96 1.4× 41 781
Roy Kirsch 280 0.4× 449 0.9× 145 0.8× 151 1.2× 51 0.8× 26 751
Cam Donly 603 0.9× 471 0.9× 83 0.4× 43 0.3× 19 0.3× 25 808
Agata Jakubowska 502 0.8× 506 1.0× 77 0.4× 44 0.3× 22 0.3× 32 749
Teresa Luque 740 1.2× 410 0.8× 79 0.4× 11 0.1× 35 0.5× 15 852
Plı́nio T. Cristofoletti 543 0.9× 514 1.0× 91 0.5× 65 0.5× 54 0.8× 14 787
Hannah Henderson 361 0.6× 373 0.7× 111 0.6× 89 0.7× 14 0.2× 20 681

Countries citing papers authored by Leslie G. Willis

Since Specialization
Citations

This map shows the geographic impact of Leslie G. Willis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Leslie G. Willis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leslie G. Willis more than expected).

Fields of papers citing papers by Leslie G. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leslie G. Willis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Leslie G. Willis. The network helps show where Leslie G. Willis may publish in the future.

Co-authorship network of co-authors of Leslie G. Willis

This figure shows the co-authorship network connecting the top 25 collaborators of Leslie G. Willis. A scholar is included among the top collaborators of Leslie G. Willis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leslie G. Willis. Leslie G. Willis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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